This paper shows how internationally and intertemporally consistent information on sickness absence can be constructed from Labour Force Surveys, and describes some important features of data that we have generated using the Luxembourg Employment Study. We also analyse sickness absence rates by age, gender and other socio-economic characteristics of workers. These relationships prove to be similar across countries with widely differing mean rates of absence. In this dataset, workers with longer tenure tend to have higher absence rates even when age is controlled for. Absence is also positively correlated with higher usual hours of work. We show how internationally and intertemporally consistent information on sickness absence can be constructed from Labour Force Surveys (LFS), and describe some important features of data that we have generated using the Luxembourg Employment Study (LES). Such data fill an important gap in available information about absence, since they have the potential to provide answers to a number of issues that remain unresolved in its study. There is now substantial evidence, going back to the work of the Industrial Fatigue Research Board in the 1920s and 1930s,I that sickness absence is not purely a response to a medical condition. Workers who have access to compensation payments are more likely to be absent than those without (Buzzard and Shaw, 1952); the higher the rate of compensation, the more absences workers are likely to take (Buzzard and Shaw, 1952); furthermore, the higher the rate of compensation, the longer absences are likely to be (Barmby et al., 1991). The analysis of sickness absence is placed firmly in the agenda of economics by the idea that sickness absence rates are the consequence of choices that can be mediated by financial (and other) incentives. The provision and level of sickpay is typically determined at two levels: by negotiation between firms and their workforces, and by government regulation. Interfirm variations in absence and their correlates are not well understood. Coles and Treble (1996) have argued that the marginal cost of an absence is partially in the control of firms, and can be usefully seen as driven by the nature of the technology adopted. These theoretical arguments remain largely unexplored empirically, but the ability to compare similar industries across different countries is likely to be revealing. * This paper was drafted during a visit to CEPS/INSTEAD in the Summer of 1999. The research was funded by a grant of the European Commission under the TMR Programme, Access to Large Scale Facilities, hosted by IRISS-C/I at CEPS/INSTEAD in Differdange, Luxembourg. We are also grateful for support from the Leverhulme Foundation through a grant to the Institute for Labour Research at the University of Essex and to colleagues at the ILR for their constructive comments. Acknowledgements to LES data providers are given at the end of the paper. We would also like to thank Paul Alkemade, Elena Bardasi and Pascal Garin for their help. Any remaining errors are our own, and the views expressed herein are not necessarily those of CEPS/INSTEAD. 1 See, for example, Vernon and Bedford (1928).